Obstacles to Developing a Multinational Report Card on Antimicrobial Resistance for Canada: An Evidence-Based Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many countries want to compare the results of their antimicrobial resistance programs to those of others nations to help gauge the effectiveness of their prevention and control practices. In our attempt to compare Canada with other nations, we encountered several challenges that must be addressed before meaningful multinational comparisons can be made. The fundamental barriers to comparison were the lack of shared targets for performance and predictive measures of success. Unique problems and policies within countries resulted in variations in goals, methods, pathogens, drugs, and priorities within and between jurisdictions. Other obstacles included: (1) lack of information on potential biases associated with different microbiological testing and sampling methods; (2) lack of information with which to conclude whether or not different programs examined comparable spectra of patients or outcomes; (3) inadequate description of the epidemiological rationale for sampling strategies; (4) use of aggregated national data that can hide regional or local variations; (5) rarity of studies designed explicitly for multinational comparison; and (6) lack of international agreement on methods, continuing education, and quality control needed to ensure program comparability. Comparison based on a country's ability to meet its internal goals for antimicrobial resistance control may be a more informative basis for a report card than specific resistance or drug use rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it